Job Details

Software Engineering Manager - Wearables AI

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Job Details

This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$177,000.00/yr - $251,000.00/yr

About the Role

The Wearable AI Team at Meta is seeking a technical leader to develop next-generation AI experiences on smart devices. You will shape core AI technology powering Meta's Smart Glasses and future devices, building a new computing platform with advanced AI technologies. Building on our Multimodal AI Assistant launched on Ray-Ban Meta Smart Glasses last year, we aim to create a human-like Assistant that sees, hears, and assists seamlessly. We seek a leader to accelerate our agentic AI plans, creating adaptable, autonomous systems that reason, plan, and use tools to meet diverse user needs, enhancing Meta's smart devices.

Responsibilities

1. Technical Leadership: Provide guidance to develop next-gen AI experiences.
2. Cross-Functional Collaboration: Work with product, design, research, and engineering teams to integrate research into production systems and launch AI experiences.
3. System Design: Design scalable, reliable AI systems to drive adoption.
4. Research & Development: Conduct cutting-edge R&D in GenAI, LLMs, NLU/P/G, focusing on agentic systems, reasoning, planning, and memory in constrained environments.
5. Technical Adaptability: Keep current with AI advancements and adapt tools and frameworks accordingly.
6. Team Development: Mentor team members to foster growth and innovation.
7. Communication: Clearly communicate complex technical concepts to stakeholders, including executives.

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 3+ years managing research scientists, applied scientists, and ML engineers, with a proven leadership record.
• Experience in research and production in NLP, NLU, NLG, IR, GenAI, RL, Personalization, Agents, Deep Learning.
• 3+ years developing LLM algorithms/systems, pre- and post-training.
• 5+ years hands-on deep learning experience.

Preferred Qualifications

• MSc or PhD in ML, CS, electrical engineering, neuroscience, statistics, or related fields.
• First-author publications in AI conferences like ICLR, ICML, NeurIPS, ACL, AAAI, EMNLP, CVPR, MLSys.
• Research and production experience in agentic AI, reinforcement learning, LLM alignment, memory, and personalization.
• Experience with inference, memory optimization, quantization, and sparsity.
• Familiarity with agentic AI frameworks such as AutoGen, LangGraph, LangChain.

About Meta

Meta builds technologies to connect people, foster communities, and grow businesses. From Facebook's launch in 2004 to apps like Messenger, Instagram, and WhatsApp, Meta has empowered billions worldwide. Moving beyond 2D screens, Meta is exploring AR and VR to create immersive social experiences. Careers at Meta help shape a future beyond current digital connections—beyond screens, distance, and physics.

Meta is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, or other protected characteristics. Qualified applicants with criminal histories are also considered. Meta participates in the E-Verify program where required. We may use AI and ML in our hiring process.

We are committed to providing accommodations for candidates with disabilities. Contact us at ...@fb.com if needed.

Salary range: $177,000/year to $251,000/year plus bonus, equity, and benefits. Compensation depends on skills, experience, and location. Benefits details are available at Meta.

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